Skip to main content
Glama
AI Agent History RAG MCP Server

AI Agent History RAG MCP Server

by velenzaboc

Related Servers

Alternatives to AI Agent History RAG MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides AI coding agents with a persistent memory layer to save, recall, update, and track memories across sessions and repositories using hybrid semantic search.
      6
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Provides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.
      8
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides long-term memory for AI coding agents, enabling them to remember, search, and organize information across sessions and platforms like Claude Code, ChatGPT, and Cursor.
      16 npm
      8
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Provides AI coding agents with a local-first persistent memory layer they can read and write during sessions, storing decisions, preferences, error patterns, and research per project or globally. Enables semantic and keyword search, formatted context recall, and cross-project guideline surfacing without API keys or cloud storage.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides AI coding agents with persistent, graph-connected memory across projects, enabling cross-project context retrieval via synaptic connections and hybrid search.
      19 npm
      8
      MIT

    TDQS

    A4.1/5.0

    Scored across 5 tools

    Disambiguation4/5

    Most tools have distinct purposes, but get_index_status and get_server_status overlap in indexing and database information, potentially causing confusion. Detailed descriptions help differentiate them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with underscores (get_* and search_*), making them predictable and clear.

    Tool Count5/5

    Five tools cover the necessary functionality for a RAG memory system without being too few or too many, earning each tool's place.

    Completeness4/5

    The tool set covers monitoring and search operations well, but lacks a tool to retrieve full conversation transcripts or manage indexing, which are minor gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues